Педагогiка вищої та середньої школи 2019. Випуск 51. C. 159–191 УДК 004.94:37.091.39 Computer Simulation of Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot Serhiy O. Semerikov1[0000−0003−0789−0272], Illia O. Teplytskyi1, Yuliia V. Yechkalo2[0000−0002−0164−8365] and Arnold E. Kiv3 1 Kryvyi Rih State Pedagogical University, 54, Gagarina Ave., Kryvyi Rih, 50086, Ukraine
[email protected] 2 State Institution of Higher Education “Kryvyi Rih National University”, 11, Vitali Matusevich St., Kryvyi Rih, 50027, Ukraine
[email protected] 3 Ben-Gurion University of the Negev, Beer Sheba, Israel
[email protected] Abstract. The article substantiates the necessity to develop training methods of computer simulation of neural networks in the spreadsheet environment. The systematic review of their application to simulating artificial neural networks is performed. The authors distinguish basic approaches to solving the problem of network computer simulation training in the spreadsheet environment, joint application of spreadsheets and tools of neural network simulation, application of third-party add-ins to spreadsheets, development of macros using the embedded languages of spreadsheets; use of standard spreadsheet add-ins for non-linear optimization, creation of neural networks in the spreadsheet environment without add-ins and macros. After analyzing a collection of writings of 1890–1950, the research determines the role of the scientific journal “Bulletin of Mathematical Biophysics”, its founder Nicolas Rashevsky and the scientific community around the journal in creating and developing models and methods of computational neuroscience. There are identified psychophysical basics of creating neural networks, mathematical foundations of neural computing and methods of neuroengineering (image recognition, in particular).